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10/14/2025 7:42:32 AM | Browse: 119 | Download: 274
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Received |
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2025-03-09 08:31 |
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Peer-Review Started |
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2025-03-09 08:31 |
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First Decision by Editorial Office Director |
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2025-03-20 07:39 |
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Return for Revision |
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2025-03-20 07:39 |
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Revised |
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2025-04-02 11:13 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2025-04-23 02:39 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2025-04-23 06:15 |
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Articles in Press |
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2025-04-23 06:15 |
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Edit the Manuscript by Language Editor |
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2025-04-29 03:30 |
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Typeset the Manuscript |
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2025-10-08 09:17 |
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Publish the Manuscript Online |
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2025-10-14 07:42 |
| ISSN |
1948-5204 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Oncology |
| Manuscript Type |
Letter to the Editor |
| Article Title |
Machine learning model-based approach for pre-operative clinical decision-making in hepatocellular carcinoma patients using cellular proliferation marker expression
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Shashank Kumar, Mahendra Pratap Singh and Lajya Devi Goyal |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Shashank Kumar, PhD, Professor, Department of Biochemistry, Central University of Punjab, VPO Ghudda Central University of Punjab Lab No. 520, Bathinda 151401, Punjab, India. shashankbiochemau@gmail.com |
| Key Words |
Hepatocellular carcinoma; Machine learning model; Cellular proliferation marker; Preoperative Therapy decision; Cancer |
| Core Tip |
Zhu et al's retrospective study employs a machine learning model to evaluate cellular proliferation markers in hepatocellular carcinoma patients, demonstrating its predictive ability and clinical benefits in pre-surgery treatment decisions. Retrospective cancer prognostic biomarker studies face limitations such as selection bias, data quality, factors affecting biomarker-patient outcomes, and poor generalisability to different populations. The study is based on a small population with no geographical information in the report. The study lacks information on tumor histology (size, number of tumours, grade, and primary/secondary nature), which is highly associated with the marker signature in the samples. |
| Publish Date |
2025-10-14 07:42 |
| Citation |
Kumar S, Singh MP, Goyal LD. Machine learning model-based approach for pre-operative clinical decision-making in hepatocellular carcinoma patients using cellular proliferation marker expression. World J Gastrointest Oncol 2025; 17(10): 106844 |
| URL |
https://www.wjgnet.com/1948-5204/full/v17/i10/106844.htm |
| DOI |
https://dx.doi.org/10.4251/wjgo.v17.i10.106844 |
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